Machine Learning Examples
This repository provides an overivew of common applications in machine learning. It uses (relatively) small datasets to show how to implement some common applications of deep learning. The following concepts are covered:
- Image classification
- Sentiment classification
- Text generation
- Forecasting
To run an application:
-
Create virtual environment
python3 -m venv
-
Activate it
source venv/bin/activate
to activate venv on Linux or
venv\Scripts\activate.bat
to activate venv on Windows
-
Install dependencies
poetry install
-
Run jupyter notebook
jupyter notebook YOUR_FILE
where YOUR_FILE can be:
- image_classification.ipynb
- sentiment_classification.ipynb
- text_generation.ipynb
- forecasting.ipynb